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Markov-modulated Processes And Semiregenerative Phenomena

The book presents a coherent treatment of Markov random walks and Markov additive processes together with their applications. Part I;

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Markov Renewal and Piecewise Deterministic Processes

of the PDMP is replaced with a Markov process. Marked point processes play a key role throughout this book.;

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Markov Processes and Applications

, Professor at Universite de Paris-Orsay, France. Markov processes is the class of stochastic processes whose past and future are conditionally;

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Semi-Markov Processes

semi-Markov processes and their applications in reliability and maintenance. The bookexplains how to construct semi-Markov models and discusses;

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Semi-Dirichlet Forms and Markov Processes

This book deals with analytic treatments of Markov processes. Symmetric Dirichlet forms and their associated Markov processes are important;

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General Irreducible Markov Chains and Non-Negative Operators

The purpose of this book is to present the theory of general irreducible Markov chains and to point out the connection between this and the;

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Statistical Topics and Stochastic Models for Dependent Data with Applications

, autoregressive and piecewise deterministic Markov models. The material is divided into three parts corresponding to: (i) Markov and semi-Markov processes;

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Piecewise Deterministic Processes in Biological Models

types of PDMPs appear: continuous time Markov chains, deterministic processes with jumps, processes with switching dynamics, and point processes;

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Markov Processes for Stochastic Modeling

Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state;

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Finite Markov Processes and Their Applications

A self-contained treatment of finite Markov chains and processes, this text covers both theory and applications. Author Marius Iosifescu;

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Markov Point Processes And Their Applications

takes a stochastic approach. It studies Markov object processes, showing that they form a flexible class of models for a range of problems;

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Point Processes and Product Densities

working in the broad area of stochastic point processes and their applications and in particular indispensable to those working in stochastic;

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Hidden Markov Processes

This book explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems;

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Structured Stochastic Matrices of M/G/1 Type and Their Applications

This book deals with Markov chains and Markov renewal processes (M/G/1 type). It discusses numerical difficulties which are apparently;

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Probability and Stochastics

measures, Levy Processes, Brownian motion, and Markov Processes. Special attention is paid to Poisson random measures and their roles;

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Introduction to Hidden Semi-Markov Models

Markov chains and hidden Markov chains have applications in many areas of engineering and genomics. This book provides a basic introduction;

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Markov Chains and Decision Processes for Engineers and Managers

description of the construction and solution of Markov models that facilitates their application to diverse processes. Organized around Markov;

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Markov Chains and Decision Processes for Engineers and Managers

description of the construction and solution of Markov models that facilitates their application to diverse processes. Organized around Markov;

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Orthogonal Polynomials in the Spectral Analysis of Markov Processes

In pioneering work in the 1950s, S. Karlin and J. McGregor showed that probabilistic aspects of certain Markov processes can be studied by;

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Understanding Markov Chains

This book provides an undergraduate-level introduction to discrete and continuous-time Markov chains and their applications, with a;

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Multidimensional Diffusion Processes

in Markov processes from a more theoretical point of view. Mathematische Operationsforschung und Statistik;

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Markov Chains

. The chapter then covers the basic theories and algorithms for hidden Markov models (HMMs) and Markov decision processes (MDPs). Chapter 2;

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Stochastic Modeling and Analysis of Telecom Networks

as Markov processes, real and spatial point processes and stochastic recursions, and presenting a wide list of results on stability;

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Markov Chains

Markov chains are central to the understanding of random processes. This is not only because they pervade the applications of random;

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Statistical Inference for Piecewise-deterministic Markov Processes

-deterministic Markov processes offers a detailed and comprehensive survey of state-of-the-art results. It covers a wide range of general processes as;

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Pseudo Differential Operators And Markov Processes, Volume Iii

, the processes are jump processes and their relations to Levy processes are investigated. Special emphasis is given to the symbol of a process;

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Selected Topics on Continuous-Time Controlled Markov Chains and Markov Games

This book concerns continuous-time controlled Markov chains, also known as continuous-time Markov decision processes. They form a class;

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